A5109685713- Advanced biosensing and bioanalysis techniques
- Molecular Sensors and Ion Detection
- Metal complexes synthesis and properties
- Advanced MRI Techniques and Applications
- Gold and Silver Nanoparticles Synthesis and Applications
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Electrochemical Analysis and Applications
- Sulfur Compounds in Biology
- Advanced Nanomaterials in Catalysis
- Machine Learning in Healthcare
- Carbon and Quantum Dots Applications
- Image and Signal Denoising Methods
- Sepsis Diagnosis and Treatment
- Analytical Chemistry and Sensors
- Lung Cancer Diagnosis and Treatment
- Crystal structures of chemical compounds
- Electrochemical sensors and biosensors
- Medical Imaging Techniques and Applications
- Nanocluster Synthesis and Applications
- Digital Imaging for Blood Diseases
- Graphene research and applications
- Plasmonic and Surface Plasmon Research
- AI in cancer detection
- Advanced Image Processing Techniques
Nankai University
2014-2025
Lanzhou Jiaotong University
2024
Abstract Objective. Humanity faces many health challenges, among which respiratory diseases are one of the leading causes human death. Existing AI-driven pre-diagnosis approaches can enhance efficiency diagnosis but still face challenges. For example, single-modal data suffer from information redundancy or loss, difficulty in learning relationships between features, and revealing obscure characteristics complex diseases. Therefore, it is critical to explore a method that assist clinicians...
Abstract Objective . Alzheimer’s disease (AD), a common of the elderly with unknown etiology, has been adversely affecting many people, especially aging population and younger trend this disease. Current artificial intelligence (AI) methods based on individual information or magnetic resonance imaging (MRI) can solve problem diagnostic sensitivity specificity, but still face challenges interpretability clinical feasibility. In study, we propose an interpretable multimodal deep reinforcement...
An on‐chip spectral surface plasmon resonance (SPR) optical sensor with a silver nanoparticle (Ag NP) array has been designed. Dextran (Dex)‐capped Ag NP (Dex‐Ag arrays were initially self‐assembled on the gold (Au) sensing film. The large perturbations and increased penetration depth of evanescent field, which is caused by use Dex‐Ag Au film, can effectively enhance SPR shift response. Compared bare film configuration, configuration improves sensitivity from 5492 to 6613 nm/RIU.
Abstract Objective. Sepsis seriously threatens human life. Early identification of a patient’s risk status and appropriate treatment can reduce septic shock mortality. Our purpose is to design validate an adjunctive therapy system based on deep reinforcement learning (DRL), which provide recommendations with providence assess the options in early stages. Approach. Data from Beth Israel Deaconess Medical Center. The raw data included 53 423 patients MIMIC-III. Of these, 19 620 eligible...
We here present a microfluidic aptasensor that integrates aptamer-based selective analyte enrichment, isocratic elution and conductance-based graphene nanosensing, achieving sensitive label-free detection of small biomolecules. An aptamer specific to target is immobilized on microbeads for enrichment the analyte. A nanosensor using competitive assay format achieves detection, with high sensitivity due surface binding-induced changes in carrier concentration bulk graphene. Experimental...